fit_bounded_continuous function

Fit Bounded Normal Model on Covariate

This internal function models a covariate using a "bounded normal" distribution by first standardizing the covariate values to the range [0, 1], noninclusive, then fitting a generalized linear model (GLM) under the Gaussian family function.

fit_bounded_continuous(
  covparams,
  covlink = NA,
  covname,
  obs_data,
  j,
  model_fits
)

Arguments

• covparams: List of vectors, where each vector contains information for one parameter used in the modeling of the time-varying covariates (e.g., model statement, family, link function, etc.).
• covlink: Vector of link functions.
• covname: Name of the covariate at index $j$.
• obs_data: Data on which the model is fit.
• j: Integer specifying the index of the covariate.
• model_fits: Logical scalar indicating whether to return the fitted models. The default is FALSE.

Returns

Fitted model for the covariate at index $j$.